DocumentCode
111922
Title
On the Performance of Turbo Signal Recovery with Partial DFT Sensing Matrices
Author
Junjie Ma ; Xiaojun Yuan ; Li Ping
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
Volume
22
Issue
10
fYear
2015
fDate
Oct. 2015
Firstpage
1580
Lastpage
1584
Abstract
This letter is on the performance of the turbo signal recovery (TSR) algorithm for partial discrete Fourier transform (DFT) matrices based compressed sensing. Based on state evolution analysis, we prove that TSR with a partial DFT sensing matrix outperforms the well-known approximate message passing (AMP) algorithm with an independent identically distributed (IID) sensing matrix.
Keywords
compressed sensing; discrete Fourier transforms; matrix algebra; message passing; AMP algorithm; IID sensing matrix; TSR algorithm; approximate message passing algorithm; independent identically distributed; partial DFT matrices based compressed sensing; partial discrete Fourier transform; state evolution analysis; turbo signal recovery; AWGN; Approximation algorithms; Discrete Fourier transforms; Sensors; Signal processing algorithms; Sparse matrices; Standards; AMP; partial DFT; signal recovery; state evolution; turbo compressed sensing;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2015.2414951
Filename
7065244
Link To Document